The present specification relates to a mobile robot and a control method therefor, and relates to a mobile robot and a control method therefor, whereby, on the basis of a result of comparing position information measured on the basis of information on the traveling of a main body, with position information measured on the basis of the result of receiving a signal, the mobile robot determines a specific position point, within a traveling area, where a speed limit occurs.

Various embodiments include processing devices and methods for managing cleaning behavior by a cleaning robot. In some embodiments, a processor of the cleaning robot may obtain user planning information and user location information from one or more information sources external to the cleaning robot. The processor may analyze the user planning information and the user location information. The processor may determine one or more cleaning parameters for the cleaning robot based on the analysis of the user planning information and the user location information. The processor may generate an instruction for the cleaning robot to schedule an operation of the cleaning robot based on the one or more cleaning parameters. The processor may execute the generated instruction to perform the operation of the cleaning robot.

Disclosed herein is a travel method of an intelligent robot cleaner. According to the present disclosure, it is possible to minimize a cleaning travel path in a cleaning target region and thus reduce a cleaning time by accumulating a plus unit point when the cleaner travels along a plurality of cleaning travel paths, accumulating a minus unit point when the cleaner travels along an overlapped cleaning travel path among the plurality of cleaning travel paths, and determining a final cleaning travel path by learning the accumulated unit point. The intelligent robot cleaner can be associated with an artificial intelligence module, unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, and the like.

A mobile epidemic prevention and disinfection robot includes a body and a control system installed on the body. The body includes a mobile base, a dust collection module, a disinfection system, a temperature detection system, and a delivery system. The delivery system includes two robot arms and a storage box. The control system includes a control module, a path planning module, and an obstacle dodge module. The control module is used to control the movement of the mobile epidemic prevention and disinfection robot, and the two robot arms to perform corresponding actions. The path planning module plans the optimal movement information of the mobile epidemic prevention and disinfection robot from the current position to a destination according to a three-dimensional map. The obstacle dodge module controls the mobile epidemic prevention and disinfection robot to dodge obstacles.

A method for controlling a robot cleaner includes receiving map information and an image transmitted from a further cleaner. The method also includes identifying position information of the further cleaner by comparing the image received from the further cleaner with an image captured by the robot cleaner and performing cleaning while traveling along with the further cleaner.

The present invention relates to a control device for a robot cleaner providing functions and user interfaces (UI) for increasing user convenience, and according to the control device of the present invention, the user convenience can be increased by providing various user interfaces capable of receiving set values for controlling the robot cleaner.

A method for operating a system with at least two floor processing devices includes detecting environmental features of an environment and generating an area map based on the detected features. The area map is divided into partial areas that are assigned to the floor processing devices so that each partial area is only processed by one of the floor processing devices. A movement route and a movement timespan of the floor processing device is detected and stored with the area map. Several partial areas are combined into partial area groups, and the partial areas are allocated to the floor processing devices based on the stored movement route and movement timespan so that a floor processing of a first partial area group by a first floor processing device takes place at essentially the same time as a floor processing of a second partial area group by a second floor processing device ends.

A system and method for selectively manually controlling an autonomous floor cleaner includes an autonomous floor cleaner and a remote control device, such as a smartphone. The smartphone can have a downloaded application for controlling one or more functions of the cleaning robot, including manually directing the movement of the cleaning robot.

An autonomous cleaning robot including a drive configured to move the cleaning robot across a floor surface in an area to be cleaned and a controller. The controller is configured to receive data representing an editable mission timeline including data representing a sequence of rooms to be cleaned, navigate the cleaning robot to clean the rooms following the sequence, track operational events occurring in each of the rooms, and transmit data about time spent navigating each room included in the sequence.

A computer-implemented method includes receiving data regarding an area to be cleaned, the data comprising data regarding movement of people or machines through the area to be cleaned; training a machine learning cleaning model based on the data; creating a floor cleaning plan using the machine learning cleaning model, the floor cleaning plan identifying a cleaning time to minimize a likelihood of a robotic cleaning device encountering a person or a machine while cleaning; and transmitting the floor cleaning plan to a robotic cleaning device.